Periodical correlation analysis of digital data pulses for real-time medical applications

2015 IEEE Bombay Section Symposium (IBSS) Pub Date : 2015-09-01 DOI:10.1109/IBSS.2015.7456662

P. S. Abdul Lateef Haroon, Fathima Jabeen

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引用次数: 3

Abstract

The main aim of the biomedical signal processing is to extract information from a biological signal. Biomedical signal processing involves recording of the biological events such as heart-beats etc. The feasibility of extracting accurate Heart-Rate is demonstrated by measuring the variability in the photoelectric plethysmography signals. The Pulse Rate is obtained from the systolic peaks of the pulse wave measured from a Heart-Beat sensor. From the Pulse Rate the Heart-Rate can be calculated. Digital Data Processing system involves real-time processing of Heart-Beat pulses. The captured data is processed in real time using Pulse Shape Discrimination Algorithm and verified on a field programmable gate array device. This study opens a way to derive heart rate from pulse rate with a simple assessment which can be applied to many persons suffering with various heart diseases. It is also analyzed the various distorted signals caused by motion artifacts are removed using morphological operators such as erosion and dilation without the help of any filters, and designed a PSD algorithm to calibrate the signals for better accuracy. The main focus is on the operation of Correlation with which the PSD has been designed. The proposed Algorithm is designed using Xilinx ISE 13.4.

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实时医疗应用中数字数据脉冲的周期性相关分析

生物医学信号处理的主要目的是从生物信号中提取信息。生物医学信号处理包括记录生物事件，如心跳等。通过测量光电脉搏波信号的变异性，证明了提取准确心率的可行性。脉搏率是从心跳传感器测量的脉搏波的收缩期峰值得到的。从脉搏率可以计算出心率。数字数据处理系统涉及对心跳脉冲的实时处理。采用脉冲形状判别算法对采集数据进行实时处理，并在现场可编程门阵列器件上进行验证。本研究开辟了一种通过简单的评估从脉搏率中获得心率的方法，可应用于许多患有各种心脏病的人。分析了在不使用任何滤波器的情况下，利用侵蚀和膨胀等形态学算子去除运动伪影引起的各种畸变信号，并设计了PSD算法对信号进行校准，以提高精度。主要的重点是在PSD设计的相关操作。该算法采用Xilinx ISE 13.4进行设计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2015 IEEE Bombay Section Symposium (IBSS)

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